Interview Experience – Amazon (Data Engineer Role)
My first round was a mix of DSA and basic concepts. They presented four questions:
I solved three with optimal solutions and managed one with a brute-force approach (I didn't know the Dutch National Flag trick back then). Next, we covered DBMS concepts and a few Linux commands. I was comfortable with the basics but struggled with grep/sed-level commands. Honestly, I didn't expect to pass this round, but to my surprise, I did!
Round two intensified the challenge. They focused on SQL queries, specifically GROUP BY, aggregates, joins, and related concepts. I aced the first two queries, provided a partial solution for a difficult one, and then smoothly handled DBMS concepts like schema design, OLTP vs. OLAP, data warehousing, and data modeling. The final task involved a real-life database design scenario, which I actually enjoyed explaining and felt very confident about.
By the end, I genuinely thought I had nailed the interview. However, the reality check was that I wasn't selected. It turned out they only had one opening, which went to the very first candidate from my college. Life can be a little cruel sometimes, but that's how it goes. Still, it was a great learning experience. If you are preparing, make sure you are solid on DSA (don't skip optimal tricks!), SQL joins/aggregates, DBMS, and a bit of Linux.
DSA:
SQL / DBMS:
Linux:
The following metrics were computed from 1 interview experience for the Amazon Data Engineer role in Tūmkūr, Karnataka.
Amazon's interview process for their Data Engineer roles in Tūmkūr, Karnataka is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for Amazon's Data Engineer interview process in Tūmkūr, Karnataka.